Demographics details for Lena, MS vs West mifflin, PA
Population Overview
Compare main population characteristics in Lena, MS vs West mifflin, PA.
| Data | Lena | West mifflin |
|---|---|---|
| Population | 155 | 19,140 |
| Median Age | 45.1 years | 45.2 years |
| Median Income | $85,000 | $64,314 |
| Married Families | 25.0% | 38.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Lena vs West mifflin
- The population in West mifflin is higher at 19,140, compared to 155 in Lena.
- The median age in West mifflin is higher at 45.2 years, compared to 45.1 years in Lena.
- Lena has a higher median income of $85,000 compared to $64,314 in West mifflin.
- In West mifflin, the percentage of married families is higher at 38.0%, compared to 25.0% in Lena.
- Lena has a higher poverty level at 10% compared to 9% in West mifflin.
- The unemployment rate in Lena is higher at 5.0%, compared to 3.2% in West mifflin.
Demographics
Demographics Lena vs West mifflin provide insight into the diversity of the communities to compare.
| Demographic | Lena | West mifflin |
|---|---|---|
| Black | 3 | 11 |
| White | 95 | 82 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 2 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lena vs West mifflin
- In West mifflin, the percentage of Black residents is higher at 11% compared to 3% in Lena.
- Lena has a higher percentage of White residents at 95% compared to 82% in West mifflin.
- In West mifflin, the Asian population stands at 1%, greater than 0% in Lena.
- West mifflin has a higher percentage of Hispanic residents at 2%, compared to 1% in Lena.
- The percentage of residents identifying as two or more races is higher in West mifflin at 4%, compared to 1% in Lena.
- The percentage of American Indian residents is the same in both Lena and West mifflin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lena | West mifflin |
|---|---|---|
| Mental Health Not Good | 19.0% | 17.0% |
| Physical Health Not Good | 14.7% | 11.6% |
| Depression | 24.7% | 23.0% |
| Smoking | 25.1% | 20.0% |
| Binge Drinking | 15.2% | 21.2% |
| Obesity | 40.6% | 33.9% |
| Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Lena vs West mifflin
- More residents in Lena report poor mental health at 19.0% compared to 17.0% in West mifflin.
- Depression is more prevalent in Lena at 24.7% compared to 23.0% in West mifflin.
- Smoking is more prevalent in Lena at 25.1% compared to 20.0% in West mifflin.
- More residents engage in binge drinking in West mifflin at 21.2% compared to 15.2% in Lena.
- Obesity rates are higher in Lena at 40.6% compared to 33.9% in West mifflin.
- There is a higher percentage of disabled individuals in West mifflin at 17.0% compared to 10.0% in Lena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lena | West mifflin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (75) |
| High School Diploma | 8.4% (13) | 25.5% (4,884) |
| Less than High School | 5.2% (8) | 7.2% (1,377) |
| Bachelor's Degree and Higher | 14.8% (23) | 16.7% (3,199) |
Education Levels Comparison: Lena vs West mifflin
- In West mifflin, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Lena.
- In West mifflin, the rate of residents with high school diplomas is higher at 25.5% compared to 8.4% in Lena.
- The percentage of residents with less than a high school education is higher in West mifflin at 7.2%, compared to 5.2% in Lena.
- In West mifflin, a larger share of residents have a bachelor's degree or higher at 16.7% compared to 14.8% in Lena.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.